Effects of Bisphenol A on Male Gonadal Tissue of Viviparous Fish: Histopathological Evidence in Goodea atripinnis / Efectos del Bisfenol A en tejido Gonadal Masculino de Peces Vivíparos: Evidencia Histopatológica en Goodea atripinnis

SUMMARY: BPA is a multifunctional endocrine disruptor with ubiquitous presence in aquatic ecosystems. The Mexican Central Plateau is an area severely impacted by pollution, inhabited by endemic viviparous fish. However, efforts to understand the effects of BPA on native species such as Goodea atripinnis are non-existent. This study focused on providing in vivo evidence of alterations in the testes of G. atripinnis males due to acute exposure to BPA at test concentrations of 1 mg/L, 10 mg/L, and 50 mg/L for 96 h. BPA exposition 1 mg/L and 10 mg/L showed degeneration and disorganization in germinal tissue. Furthermore, there was a notable decrease in sperm within the seminiferous tubules of males exposed to 10 mg/L of BPA. In all treatments, somatic cells had alterations by connective tissue thickening and an increase in collagen fibers. Additionally, inflammation and bleeding occurred in the testes of males exposed to 1 and 10 mg/L BPA. The alterations in the testes of G. atripinnis are related to BPA toxicity, which can lead to apoptosis in germ cells increasing connective tissue. Finally, even though the changes produced by BPA became evident in acute exposure (96 h), its effects are probably irreversible, compromising the reproduction of G. atripinnis.

El BPA es un disruptor endocrino multifuncional con presencia ubicua en los ecosistemas acuáticos. La Meseta Central mexicana habitada por peces vivíparos endémicos, es una zona severamente impactada por la contaminación. Sin embargo, los esfuerzos por comprender los efectos del BPA en especies nativas como Goodea atripinnis son inexistentes. Este estudio se centró en proporcionar evidencia in vivo de alteraciones en los testículos de machos de G. atripinnis debido a la exposición aguda al BPA en concentraciones de prueba de 1 mg/L, 10 mg/L y 50 mg/L durante 96 h. La exposición a BPA 1 mg/L y 10 mg/L mostró degeneración y desorganización en el tejido germinal. Además, hubo una disminución notable de los espermatozoides dentro de los túbulos seminíferos de machos expuestos a 10 mg/L de BPA. En todos los tratamientos las células somáticas presentaron alteraciones por engrosamiento del tejido conectivo y aumento de las fibras de colágeno. Además, se produjo inflamación y sangrado en los testículos de machos expuestos a 1 y 10 mg/L de BPA. Las alteraciones en los testículos de G. atripinnis están relacionadas con la toxicidad del BPA, lo que puede provocar apoptosis en las células germinales aumentando el tejido conectivo. Finalmente, si bien los cambios producidos por el BPA se hicieron evidentes en la exposición aguda (96 h), sus efectos probablemente sean irreversibles, comprometiendo la reproducción de G. atripinnis.

A biomarker-based solution for the limited access to early diagnosis and assessment of autism / Una solución basada en biomarcadores para el acceso limitado al diagnóstico precoz y evaluación del autismo

Abstract With the upsurge of community uptake in popula tion-based early screening for autism, the main obstacle to increasing access to early treatment and intervention services is the extremely limited access to high quality diagnosis, specifically the shortage of expert clinicians. Diagnostic evaluation models deployed by academic cen ters of excellence, which typically require the investment of 6-10 hours by specialized multidisciplinary teams, is not a viable solution to the vast needs of communities, resulting in parents' "diagnostic odysseys" and delays, often of several years, for treatment, interventions and supports. Biomarker-based objective procedures for early diagnosis and assessment of autism are now available, clinically validated, and cleared for broad implementa tion by the US Food and Drug Administration (FDA). They are intended to increase access while maintaining high quality. Such solutions, however, will require change in entrenched models of diagnostic care, and aggressive prioritization of the needs of the community at large. If these innovations are successful, the number of children diagnosed in the first three years of life will double or triple. This will, in turn, require much greater inves tments in resources for treatment, including massive workforce training of providers capable of delivering community-viable caregiver-mediated interventions, and of early educators capable of serving autistic children in therapeutic inclusive preschool settings.

Resumen Con el aumento de la aceptación comunitaria de la detección temprana del autismo basada en la pobla ción, el principal obstáculo para aumentar el acceso al tratamiento temprano y a los servicios de intervención es el acceso extremadamente limitado a un diagnóstico de alta calidad, específicamente la escasez de médicos expertos. Los modelos de evaluación diagnóstica imple mentados por centros académicos de excelencia, que normalmente requieren la inversión de 6 a 10 horas por parte de equipos multidisciplinarios especializados, no son una solución viable para las vastas necesidades de las comunidades, lo que resulta en "odiseas diagnósti cas" y retrasos, a menudo de gran importancia, para los padres varios años, para tratamiento, intervenciones y apoyos. Los procedimientos objetivos basados en bio marcadores para el diagnóstico temprano y la evaluación del autismo ya están disponibles, clínicamente validados y aprobados para su amplia implementación por la Ad ministración de Alimentos y Medicamentos de EE. UU. (FDA). Su objetivo es aumentar el acceso manteniendo una alta calidad. Sin embargo, tales soluciones requeri rán cambios en los modelos arraigados de atención de diagnóstico y una priorización agresiva de las necesida des de la comunidad en general. Si estas innovaciones tienen éxito, el número de niños diagnosticados en los primeros tres años de vida se duplicará o triplicará. 51 Esto, a su vez, requerirá inversiones mucho mayores en recursos para el tratamiento, incluida la capacitación masiva de la fuerza laboral de proveedores capaces de brindar intervenciones comunitarias viables mediadas por cuidadores, y de educadores tempranos capaces de atender a niños autistas en entornos preescolares terapéuticos inclusivos.

Hemoglobina reticulocitaria en el diagnóstico precoz de la anemia por deficiencia de hierro / Reticulocyte hemoglobin in the early diagnosis of iron deficiency anemia / Hemoglobina de reticulócitos no diagnóstico precoce da anemia por deficiência de ferro

La anemia por deficiencia de hierro es un problema prevalente a nivel global que aparece en niños, adolescentes y mujeres en edad fértil, son los más afectados. La hemoglobina reticulocitaria es un nuevo biomarcador prometedor para el diagnóstico temprano. Objetivo. Evaluar la hemoglobina reticulocitaria para el diagnóstico precoz de anemia por deficiencia de hierro. Metodología. Se realizó una revisión sistemática en bases de datos biomédicas como PubMed, Scielo, Researchgate, Base, Cochrane Library y DOAJ; se incluyeron 24 estudios observacionales (2018-2023) sobre el uso de la hemoglobina reticulocitaria en el diagnóstico de anemia por deficiencia de hierro; se extrajeron datos sobre las características de los estudios, los valores de sensibilidad y especificidad de este biomarcador. Resultados. La hemoglobina reticulocitaria presentó una sensibilidad agrupada de 90% y una especificidad de 89,5% en los estudios analizados. También mostró una diferencia de medias significativa de -2,88 (IC 95%: -3,36 a -2,40) entre grupos con y sin anemia por deficiencia de hierro. Se encontró una heterogeneidad sustancial entre los resultados de los diferentes estudios (I2=95%; p<0,00001). Conclusión. La hemoglobina reticulocitaria demostró elevada sensibilidad y especificidad, así como una diferencia significativa entre grupos con y sin la condición, lo que evidencia su utilidad como prueba para la detección temprana de la anemia por deficiencia de hierro.

Iron deficiency anemia is a prevalent global health problem that appears in children, adolescents and women of childbearing age, who are the most affected. Reticulocyte hemoglobin is a promising new biomarker for early diagnosis. Objective. To evaluate reticulocyte hemoglobin for the early diagnosis of iron deficiency anemia. Methodology. A systematic review was conducted searching biomedical databases including PubMed, Scielo, Researchgate, Base, Cochrane Library and DOAJ; 24 observational studies (2018-2023) were included on the use of reticulocyte hemoglobin in the diagnosis of iron deficiency anemia; data were extracted on the characteristics of the studies and the sensitivity and specificity values of this biomarker. Results. Reticulocyte hemoglobin showed a pooled sensitivity of 90% and a specificity of 89.5% in the studies analyzed. It also showed a significant mean difference of -2.88 (95% CI: -3.36 to -2.40) between groups with and without iron deficiency anemia. Substantial heterogeneity was found among the results of the different studies (I2=95%; p<0.00001). Conclusion. Reticulocyte hemoglobin demonstrated high sensitivity and specificity, as well as a significant difference between groups with and without the condition, which shows its usefulness as a test for the early detection of iron deficiency anemia.

A anemia por deficiência de ferro é um problema de saúde global prevalente que aparece em crianças, adolescentes e mulheres em idade fértil, sendo os mais afetados. A hemoglobina reticulocitária é um novo biomarcador promissor para o diagnóstico precoce. Objetivo. Avaliar a hemoglobina reticulocitária para o diagnóstico precoce da anemia por deficiência de ferro. Metodologia. Foi realizada uma revisão sistemática com busca em bases de dados biomédicas incluindo PubMed, Scielo, Researchgate, Base Cochrane Library e DOAJ; foram incluídos 24 estudos observacionais (2018-2023) sobre o uso da hemoglobina reticulocitária no diagnóstico de anemia por deficiência de ferro; foram extraídos dados sobre as características dos estudos e os valores de sensibilidade e especificidade deste biomarcador. Resultados. A hemoglobina reticulocitária apresentou sensibilidade agrupada de 90% e especificidade de 89,5% nos estudos analisados. Também mostrou uma diferença média significativa de -2,88 (IC 95%: -3,36 a -2,40) entre grupos com e sem anemia por deficiência de ferro. Encontrou-se heterogeneidade substancial entre os resultados dos diferentes estudos (I2=95%; p<0,00001). Conclusão. A hemoglobina reticulocitária demonstrou elevada sensibilidade e especificidade, bem como uma diferença significativa entre grupos com e sem a condição, o que evidencia a sua utilidade como teste para a detecção precoce da anemia por deficiência de ferro.

Expression and clinical significance of hsa_circ_0005075 in serum extracellular vesicles of patients with recurrent spontaneous abortion / 临床检验杂志

Objective To investigate the expression level and clinical significance of hsa_circ_0005075 in serum extracellular vesicles(EVs)of patients with recurrent spontaneous abortion(RSA).Methods Fourteen RSA patients and 14 normal pregnant women from the Department of Obstetrics and Gynecology,Qilu Hospital of Shandong University were enrolled in a training set,and 64 RSA pa-tients and 48 normal pregnant women were enrolled in a validation set.The expression levels of hsa_circ_0005075 in serum EVs were detected by the quantitative real-time PCR(qRT-PCR),and their correlation with clinical pathological parameters of RSA patients were analyzed.Serum anti-thyroid globulin antibody(A-TG)and anti-thyroid peroxidase antibody(A-TPO)were detected by the elec-trochemiluminescence assay.Serum anticardiolipin(ACA)IgA,IgG,and IgM antibodies and anti-β2 glycoprotein 1(β2GP1)IgA,IgG,and IgM antibodies were determined by the chemiluminescence immunoassay.The correlation of these autoantibodies with the lev-els of hsa_circ_0005075 in serum EVs was analyzed by the Pearson correlation.The clinical application value of hsa_circ_0005075 in the diagnosis of RSA was evaluated by the receiver operating characteristic(ROC)curve.Results The detection results of the training set showed that the expression levels of hsa_circ_0005075 in serum EVs of RSA patients(7.69[4.74,42.15])were significantly high-er than that in normal pregnant women(1.02[0.51,4.23],U=28,P＜0.01].Similarly,in the validation set,the expression levels of hsa_circ_0005075 in RSA patients(4.96[1.73,8.89])were also significantly higher than that in normal pregnant women(1.00[0.24,2.96],U=693,P＜0.01).The ROC curve showed that hsa_circ_0005075 in serum EVs had good diagnostic value for RSA(AUCROC=0.774),with 70.3%of sensitivity and75.0%of specificity.In addition,the expression level of hsa_circ_0005075 in serum EVs was significantly correlated with A-TPO(r=0.298,P＜0.05).Conclusion The hsa_circ_0005075 in serum EVs is highly ex-pressed in RSA patients,which may have a potential differential diagnostic value for the diagnosis of RSA.

The related factors of subjective cognitive decline and its relationship with the progression of Alzheimer's disease / 临床神经病学杂志

Subjective cognitive decline(SCD)refers to self-perceived persistent decline in cognitive function,but the relevant neuropsychological tests remain within the normal range.It is a possible earliest preclinical stage that can be identified in the continuous progressive duration of Alzheimer's disease(AD).Many factors are involved in the occurrence of SCD and how to identify the AD progressive SCD to ultra-early intervention is the focus of current research.This paper aims to summarize and analyze the related concepts,clinical characteristics,related influencing factors,and their relationship with the progression of AD,which may provide a reference for subsequent related studies.

Current research status and application prospects of S1P in asthma / 实用医学杂志

Asthma is a chronic inflammatory airway disease,and airway inflammation,airway hyper-respon-siveness and airway remodeling are the major pathological alterations in asthma.Numerous studies have demon-strated sphingosine metabolism disorders exist in asthma patients,and sphingosine-1-phosphate(S1P)is the end product of sphingolipid metabolism,which has become the focus of research as an important mediator of immune and inflammatory diseases,and is closely related to the development of asthma.In this paper,we summarize the role of S1P in the pathological changes of asthma from the relationship between S1P and asthma as well as its application in the clinical diagnosis,treatment and efficacy assessment of asthma,with a view to exploring more directions in the diagnosis and treatment of asthma.

Analysis of serum differential proteomics in patients with acute cervical spondylotic radiculopathy / 中国组织工程研究

BACKGROUND:The specific molecular mechanism of the transformation from normal healthy people to acute cervical spondylotic radiculopathy has not been clear,which needs to be further studied. OBJECTIVE:To investigate the differential expression of serum proteomics between normal healthy people and patients with acute cervical spondylotic radiculopathy,and to find and identify potential specific serum markers between them. METHODS:The serum samples of eight patients with acute cervical spondylotic radiculopathy and eight normal healthy people were collected,and the proteomic screening and analysis were performed by tandem mass tag combined with liquid chromatography-tandem mass spectrometry technology,in order to explore and identify serum proteins differentially expressed in patients with acute cervical spondylotic radiculopathy. RESULTS AND CONCLUSION:A total of 183 significantly differential proteins were screened by tandem mass tag technology,and 11 significantly differential proteins were identified(P＜0.05).Compared with normal healthy people,three differential proteins were significantly up-regulated,including human leukocyte antigen-A,secretoglobin family 1a member 1,and protein 4-hydroxyphenylpyruvate dioxygenase,and seven differential proteins were significantly down-regulated,such as immunoglobulin heavy constant gamma 3,skin factor,and myosin light chain 3,in patients with acute cervical spondylotic radiculopathy.Gene ontology enrichment analysis showed that these differential proteins participated in antigen binding,immunoglobulin receptor binding and other molecular functions.Protein-protein interaction analysis showed that among the common differential proteins between normal healthy people and patients with acute cervical spondylotic radiculopathy,HLA-A,HPD,PSMA3,DMKN,SCGB1A1,and MYL3 were located at the nodes of the functional network,and were closely related to the systems of body immunity,cellular inflammatory response,energy metabolism,and mechanical pressure.The significantly differential proteins HLA-A,HPD and MYL3 were verified by western blot,and the results were consistent with those of proteomics.To conclude,tandem mass tag combined with liquid chromatography-tandem mass spectrometry technology can be used to find the differentially expressed proteins in serum between normal healthy people and patients with acute cervical spondylotic radiculopathy.It is preliminarily believed that HLA-A,HPD and MYL3 may be specific serum markers of acute cervical spondylotic radiculopathy,providing a new direction for further research on its pathogenesis.

Experimental validation of machine learning identification of KDELR3 as a signature gene for osteoarthritis hypoxia / 中国组织工程研究

BACKGROUND:Hypoxia is strongly associated with the development and progression of osteoarthritic chondrocyte injury,but the specific targets and regulatory mechanisms are unclear. OBJECTIVE:A machine learning approach was used to identify KDEL(Lys-Asp-Glu-Leu)receptor 3(KDELR3)as a characteristic gene for osteoarthritis hypoxia and immune infiltration analysis,to provide new ideas and methods for the treatment of osteoarthritis. METHODS:The osteoarthritis-related datasets were downloaded from the GEO database and the GSEA website to obtain hypoxia-related genes.The osteoarthritis datasets were batch-corrected and immune infiltration analyzed using R language,and osteoarthritis hypoxia genes were extracted for differential analysis.Differentially expressed genes were analyzed for GO function and KEGG signaling pathway.Weighted correlation network analysis(WGCNA)and machine learning were also used to screen osteoarthritis hypoxia signature genes,and in vitro cellular experiments were performed to validate expression and correlate immune infiltration analysis using the datasets and qPCR. RESULTS AND CONCLUSION:(1)8492 osteoarthritis genes were obtained by batch correction and principal component analysis,mainly strongly associated with immune cells such as Macrophages M2 and Mast cells resting;200 hypoxia genes were also obtained,resulting in 41 osteoarthritis hypoxia differentially expressed genes.(2)GO analysis involved mainly biological processes such as response to nutrient levels and glucocorticoids;cellular components such as lysosomal lumen and Golgi lumen;and molecular functions such as 14-3-3 protein binding and DNA-binding transcriptional activator activity.(3)KEGG analysis of osteoarthritis hypoxia differentially expressed genes was associated with signaling pathways such as PI3K-Akt,FoxO,and microRNAs in cancer.(4)The characteristic gene KDELR3 was obtained after using WGCNA analysis and machine learning screening.(5)The gene expression of KDELR3 was found to be higher in the test group than in the control group in the synovium(P=0.014)but lower in the meniscus(P=0.024)after validation by gene microarray.(6)In vitro chondrocyte assay showed that the expression of KDELR3 was higher in cartilage than in the control group(P=0.005),while KDELR3 was closely associated with Macrophages M0(P=0.014)and T cells follicular helper(P=0.014).Using a machine learning approach,we confirmed that KDELR3 can be used as a hypoxic signature gene for osteoarthritis and may intervene in osteoarthritis pathogenesis by improving hypoxia,expecting to provide a new direction for better treatment of osteoarthritis.

Bioinformatics identification of CA9 as a signature gene for cartilage-associated ferroptosis in steroid-induced osteonecrosis of the femoral head / 中国组织工程研究

BACKGROUND:Disturbances in bone metabolism have a significant association with ferroptosis in steroid-induced osteonecrosis of the femoral head(SONFH).Furthermore,the pathologic process of SONFH is characterized by the presence of cartilage damage and degeneration.However,the specific regulatory targets and the relationship between ferroptosis and cartilage concerning SONFH remain unclear. OBJECTIVE:To employ bioinformatics and machine learning techniques to identify specific genes associated with ferroptosis that target cartilage and to investigate the correlation between ferroptosis and cartilage,thereby providing novel ideas and methodologies for the study and treatment of SONFH. METHODS:Disease datasets pertinent to the study and ferroptosis-related genes were retrieved from the GEO and FerrDb databases.Subsequently,the disease datasets were normalized and differential analysis using the R language to identify ferroptosis-related differential genes(Fe-DEGs).We conducted Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis of Fe-DEGs.Furthermore,ferroptosis-related signature genes were filtered based on the protein-protein interaction network of Fe-DEGs and machine learning methods.Finally,the rabbits were divided into normal and model groups.The normal group was given the same dose of saline to simulate the modeling drug,and the animal model of SONFH in rabbits was constructed by injection of modified horse serum combined with methylprednisolone.After successful modeling,the expression of signature gene was verified between different groups,and the phenotype of ferroptosis in cartilage was analyzed. RESULTS AND CONCLUSION:Through the normalization and differential analysis of the dataset,a total of 1 315 differentially expressed genes were identified.Additionally,379 ferroptosis-related genes were obtained from the FerrDb database.After intersecting both gene sets,19 Fe-DEGs were obtained.The GO analysis revealed that Fe-DEGs were mainly involved in biological processes such as cell migration and cellular response to oxidative stress,cellular components such as kinase complexes,amino acid complexes,and cytoplasmic membranes,as well as molecular functions such as kinase activity,receptor activity,and protein binding.The KEGG analysis revealed that Fe-DEGs were mainly enriched in the FoxO signaling pathway,vascular endothelial growth factor signaling pathway,and FcγR-mediated phagocytosis.Constructing a protein-protein interaction network and using machine learning,we identified the ferroptosis-related signature gene,CA9.The gene set enrichment analysis of the signature gene CA9 revealed an upregulated expression in biological processes such as fatty acid metabolism and O-GlcNAc glycosylation modification,while being inhibited in terms of neural activity and ligand-receptor interactions.RT-PCR and western blot results showed that compared with the normal group,the expressions of ACSL4 and CA9 at mRNA and protein levels were significantly higher in the model group(P<0.05),while the expressions of SLC7A11 and GPX4 at mRNA and protein levels were significantly lower in the model group(P<0.05),coinciding with the expression levels of the signature genes in the dataset.These findings indicate that the cartilage of SONFH is closely related to ferroptosis,and targeting the signature gene may provide certain ideas and directions for the study and treatment of SONFH.

Identification of biomarkers associated with ferroptosis and pyroptosis for the potential diagnosis of postmenopausal osteoporosis / 中国组织工程研究

BACKGROUND:Ferroptosis and pyroptosis may play a role in the development of postmenopausal osteoporosis.There may be relevant biomarkers for the diagnosis of postmenopausal osteoporosis. OBJECTIVE:To search for the key genes related to ferroptosis and pyroptosis in postmenopausal osteoporosis using bioinformatics so as to further elucidate their biological mechanisms. METHODS:The data sets GSE56815 and GSE7429 of postmenopausal osteoporosis were downloaded from the GEO database,the national comprehensive gene expression database of the United States,and the two data sets were preprocessed.The differential expression analysis of the data was carried out by the limma package of R software,and the enrichment analysis was performed by DIVID and KOBAS.The protein-protein interaction network was mapped by STRING and Cytoscape,the Hub gene was selected by CytoHubba,and the key genes were screened by the ferroptosis database and pyroptosis database.The CIBERSORT package was used to determine the immune infiltration of postmenopausal osteoporosis samples and to analyze the correlation between key genes and immune cells RESULTS AND CONCLUSION:A total of 30 differential genes of postmenopausal osteoporosis were screened in the experimental samples,of which 9 genes were up-regulated and 21 genes were down-regulated.The enrichment of GO and KEGG pathways showed that the differences were mainly in"serine-type endopeptidase activity,""innate immune response,""special particle lumen,"and"renin secretion."The protein-protein interaction network showed the correlation of differential genes and the top 10 Hub genes with"Degree"value were selected using CytoHubba.Hub gene was intersected with the FerrDb database and cell pyroptosis dataset to obtain key genes ELANE and LCN2.Receiver operating characteristic curve and box diagram showed that the expression of ELANE and LCN2 in serum samples of postmenopausal osteoporosis was significantly lower than that in normal samples,indicating a good diagnostic value.Immune infiltration analysis showed that ELANE may be related to memory resting CD4+ T cells,M0 and M2 macrophages.LCN2 may be related to M0 macrophages.

Metabolomics analysis of serum and urine in patients with traumatic spinal cord injury / 中国组织工程研究

BACKGROUND:Traumatic spinal cord injury primarily relies on scale assessment and imaging examinations in clinical practice.However,there are limitations in predicting the prognosis of the injury.Therefore,the use of metabolomics technology for biomarker screening is significant for estimating the extent of damage,injury and recovery,as well as developing new therapies. OBJECTIVE:To characterize the metabolic features of patients with traumatic spinal cord injury using metabolomics technology and explore potential biomarkers and disrupted metabolic pathways. METHODS:Serum and urine samples were collected from 20 patients with traumatic spinal cord injury(observation group)and 10 healthy subjects(control group).Metabolites were analyzed and multivariate statistical analysis was then performed for data processing to screen differential metabolites.Metabolic pathway enrichment was performed using MetaboAnalyst software.Logistic regression was applied to construct a biomarker combination model,and its relationship with the American Spinal Injury Association grading was analyzed. RESULTS AND CONCLUSION:Significant differences in 160 and 73 metabolites were detected in the serum and urine samples of the two groups,respectively.Pathway enrichment analysis showed evident disturbances in lipid metabolism after traumatic spinal cord injury,including sphingolipid,arachidonic acid,α-linolenic acid,and arachidonic acid metabolism,as well as glycerophospholipid and inositol phosphate biosynthesis.The combination of two identified biomarkers,telmisartan and quercetin glycoside,showed a correlation with the American Spinal Injury Association grading in both serum and urine levels.Thus,metabolomics technology provides assistance in further understanding the pathological mechanisms of traumatic spinal cord injury and screening therapeutic targets.The identified metabolic biomarker combination may serve as a reference for assessing the severity of traumatic spinal cord injury.

Bioinformatics identification and validation of genes related to fatty acid metabolism in rheumatoid arthritis / 中国组织工程研究

BACKGROUND:Research has shown that fatty acid metabolism genes are closely related to the development of rheumatoid arthritis.Therefore,exploring the progression of rheumatoid arthritis based on fatty acid metabolism genes is of clinical significance. OBJECTIVE:To investigate whether fatty acid metabolism genes can serve as reliable biomarkers for predicting the progression of rheumatoid arthritis. METHODS:Gene data related to synovial tissue were downloaded from the Gene Expression Comprehensive Database(GEO).STRING was used to construct the protein-protein interaction network analysis.Cytoscape was utilized for biological annotation(gene ontology)and signaling pathway enrichment analysis(Kyoto Encyclopedia of Genes and Genomes).Fatty acid metabolism related genes were screened from the molecular feature database(MSigDB).Least absolute shrinkage and selection operator and support vector machine recursive feature elimination feature were used to screen for potential biomarkers.Immune cell infiltration levels in normal individuals and rheumatoid arthritis patients were assessed using the CIBERSORT algorithm.Finally,the expression levels of fatty acid metabolism related genes were verified using the receiver operating characteristic curve in GSE77298. RESULTS AND CONCLUSION:361 differentially expressed genes in rheumatoid arthritis were identified,of which 13 overlapped with the reported fatty acid metabolism related genes.Based on machine learning algorithms,five genes were selected,and the receiver operating characteristic curve showed that five genes(PCK1,PDK1,PTGS2,PLA2G2D,and DPEP2)could predict the development of rheumatoid arthritis.The CIBERSORT algorithm results showed that five genes were associated with activated mast cells,neutrophils,resting mast cells,and memory resting CD4+ T cells.The receiver operating characteristic curve showed that PLA2G2D and PCK1 have high diagnostic value.To conclude,the expression characteristics of fatty acid metabolism related genes can serve as potential biomarkers for predicting clinical outcomes,which can further improve the accuracy of prediction in RA patients.

lncRNA-mediated ceRNA network molecular mechanisms on ischemic stroke / 中国康复医学杂志

Objective:To construct the regulatory network of competitive endogenous RNA(ceRNA)and explore the mo-lecular mechanism of ischemic stroke(IS)by using bioinformatic analysis to screen the differentially-expressed genes. Method:The expression profiles of miRNA,mRNA and lncRNA in IS were downloaded from the NCBI GEO database.Differentially-expressed miRNAs,lncRNAs,and mRNAs were identified by the limma package in R software.The prediction of the relationship of lncRNA-miRNA and miRNA-mRNA were performed by starBase,miRDB and miRwalk databases.The results of prediction and differential analysis were taken to inter-sect and screened out differentially-expressed target mRNA(DETmRNAs),Kyoto Encyclopedia of Genes and Genomes(KEGG)and gene ontology(GO)enrichment analysis was performed by using the DAVID database.The protein-protein interaction(PPI)network was constructed by using the STRING database and the core tar-get genes in the network were identified by Cytoscape software. Result:A total of 20 differentially-expressed miRNAs,1512 lncRNAs,and 278 mRNAs were identified,and a ceRNA network was successfully constructed with the interactions of 5 lncRNAs-6 miRNAs-102 mRNAs in IS.The 285 DETmRNAs functions are mostly involved in the biological process such as chromatin organization,negative regulation of phosphoprotein phosphatase activity,or cell cycle.KEGG mainly enriched the signaling pathway including leukocyte trans-endothelial migration and platelet activation.The top 10 core genes were CREB1,MAPK1,GSK3B,SP1,PIK3R1,NR3C1,NCOR1,NFATC1,SETD2,and NSD1. Conclusion:The construction of the ceRNA network can help to further understand the molecular mechanism of IS and screen potential biomarkers,providing clues to further define rehabilitation targets and develop reha-bilitation strategies.

The relationship between the ratio and dynamic changes of lympho-cytes/monocytes and the efficacy of PD-1 inhibitors in the treatment of advanced non-small cell lung cancer / 中国临床药理学与治疗学

AIM:To investigate the relationship between the dynamic changes of Lymphocyte-to-monocytes ratios(LMR)before PD-1 inhibitor treat-ment and the efficacy and prognosis of PD-1 inhibi-tor treatment in patients with advanced non-small cell lung cancer(NSCLC).METHODS:The clinical case data of 83 patients with advanced non-small cell lung cancer admitted to the Cancer Hospital of Wuhu Second People's Hospital from June 2019 to July 2022 were retrospectively analyzed.The rou-tine blood LMR values of all patients before and af-ter treatment were collected,the cut-off value was calculated according to the ROC curve,and the LMR was divided into two groups:high and low be-fore treatment and after treatment.The differenc-es of ORR,DCR,PFS and OS among the patients in each group were analyzed and compared,and the value of LMR value and dynamic changes after treatment on the efficacy and prognosis of patients with PD-1 inhibitors in the treatment of NSCLC pa-tients was analyzed.RESULTS:According to the ROC curve,the critical value of LMR was 1.8,and the LMR was divided into the low LMR group at baseline(LMRB/S<1.8),the high LMR group at base-line(LMRB/S≥1.8)and the low LMR group after treatment(LMRafter<1.8)and the high LMR group af-ter treatment(LMRafter≥1.8).The ORR and DCR after immunotherapy in the high LMRB/S group were high-er than those in the low LMRB/S group(P=0.037;P= 0.0025).Among the patients with low LMRB/S be-fore treatment,the DCR of the LMRafter≥1.8 group was better than that of the LMRafter<1.8 group after treatment(P=0.005).Among the patients with high LMR before treatment,the DCR of the LMRafter≥1.8 group was better than that of the LMRafter<1.8 group(P=0.034).Kaplan-Meier analysis showed that PFS and OS were longer in the high LMRB/S group than in the low LMRB/S group before treat-ment.In the low LMRB/S group before treatment,PFS and OS were longer in patients with LMRafter≥1.8 than those with LMRafter<1.8(P=0.047;P=0.007).Multivariate Cox regression model analysis showed that high LMRB/S value before treatment was an in-dependent risk factor for PFS and OS in NSCLC pa-tients(P=0.006;P=0.033).CONCLUSION:High LMR value of patients before immunotherapy may im-prove the efficacy of PD-1 inhibitors,improve the prognosis of patients,and prolong the survival time.Moreover,the increase of LMR value after treatment may increase the efficacy of patients with low LMR before treatment and improve the prognosis of patients.

Platelet lncRNA as a biomarker for early screening of lung adenocarcinoma: a preliminary study / 中国输血杂志

【Objective】 To explore the diagnostic value of platelet long non-coding RNA (lncRNA) as a biomarker for early screening of lung adenocarcinoma (LUAD). 【Methods】 The GSE183635 and GSE89843 datasets, which contained the platelet transcriptome of LUAD and healthy controls, were used for differential analysis, and the intersection of the differentially expressed lncRNA(DElncRNA) of the two datasets was taken. The expression levels of DElncRNA in LUAD tissues and normal control tissues were analyzed using GEPIA2. The expression levels of LINC01088 in platelets of 51 healthy controls and 54 LUAD patients were detected by quantitative Real-time PCR (qRT-PCR), and the diagnostic ability of each index was evaluated by ROC curve. 【Results】 8 DElncRNAs and 1 265 DElncRNAs were obtained from GSE183635 and GSE89843 datasets, respectively. The key DElncRNA LINC01088 was selected after intersection. GEPIA2 analysis showed that the expression level of LINC01088 in LUAD tissues was lower than that in normal lung tissues (P<0.05). Platelet LINC01088 was significantly downregulated in patients with LUAD and early-stage LUAD than in healthy controls(P<0.001). The area under the curve (AUC) of platelet LINC01088 in the diagnosis of LUAD was 0.755, the sensitivity was 81.1%, and the specificity was 67.9%. The AUC for early LUAD diagnosis was 0.727, the sensitivity was 80.0%, and the specificity was 67.9%. The AUC of the combined diagnostic model composed of platelet LINC01088 and carcinoembryonic antigen (CEA) for LUAD diagnosis was 0.807, the sensitivity was 89.2%, and the specificity was 71.4%. The AUC for early LUAD was 0.770, the sensitivity was 86.7%, and the specificity was 71.4%. The combined diagnostic model of platelet LINC01088 and CEA was superior to CEA in the diagnosis of LUAD and early LUAD (Z=-2.288, -2.34, both P<0.05). 【Conclusion】 LINC01088 is down-regulated in platelets of LUAD patients. Platelet LINC01088 may be a biomarker for early screening and diagnosis of LUAD.

Study on the biomarker of circular RNA in peripheral blood of Uygur patients with type 2 diabetes mellitus / 中国糖尿病杂志

Objective To explore the potential circular RNA(circRNA)biomarker of Uygur type 2 diabetes mellitus(T2DM).Methods A total of 120 T2DM patients and 120 subjects with normal glucose tolerance were recruited from the Department of Endocrinology and Metabolism of the First Affiliated Hospital of Shihezi University and Shihezi community from October 2020 to August 2021,and divided into four groups:60 Uygur T2DM patients(Uygur T2DM group),60 Uygur subjects with normal glucose tolerance(Uygur NC group),60 Han T2DM patients(Han T2DM group)and 60 Han subjects with normal glucose tolerance(Han NC group).Hsa_circRNA_0042817,hsa_circRNA_0006532 and hsa_circRNA_0004131 were selected as candidate circRNA,and the expression in peripheral blood were detected by RT-qPCR.Logistic regression was used to analyze the influencing factors for Uygur T2DM,and the receiver operating characteristic(ROC)curve was used to evaluate the biomarker value of circRNA in Uygur T2DM.Results The expressions of hsa_circRNA_0042817,hsa_circRNA_0006532 and hsa_circRNA_0004131 were higher in Uygur T2DM group than in Uygur NC group(P<0.05).The expression of hsa_circRNA_0042817 was higher in Uygur T2DM group than in Han T2DM group(P<0.05).Logistic regression analysis showed that hsa_circRNA_0042817 was an influencing factor for T2DM in Uygur population[OR(95%CI)3.420(1.567～7.465)].ROC curve analysis showed that the area under the curve was the largest(0.798)in hsa_circRNA_0042817.Conclusion There were up-regulated circRNA in peripheral blood in Uygur T2DM patients,and hsa_circRNA_0042817 may be a biomarker for T2DM in Uygur patients.

Research progress of artificial intelligence technology in early diagnosis of sepsis / 中华危重病急救医学

Sepsis is caused by infection, which can ultimately lead to multiple organ dysfunction and even life-threatening. Early recognition and early treatment can significantly improve the prognosis of sepsis patients. However, the effect of using a single biomarker for early diagnosis of sepsis is still not ideal. In recent years, researchers have turned their attention to artificial intelligence technology for early diagnosis of sepsis. This paper briefly introduces the advantages and disadvantages of sepsis related inflammatory indicators, biomarkers, and scoring systems of disease severity for early identification of sepsis, and focuses on the research progress and limitations of artificial intelligence technology for early diagnosis of sepsis, aiming to seek new methods and ideas for early diagnosis of sepsis.

Predicting the efficacy of neoadjuvant chemoradiotherapy for locally advanced rectal cancer based on lipid metabolism-related genes / 中华放射肿瘤学杂志

Objective:To investigate the value of lipid metabolism-related genes (LMRG) for predicting the efficacy of neoadjuvant chemoradiotherapy in locally advanced rectal cancer (LARC).Methods:GSE46862, a genome-wide expression data of LARC treated with neoadjuvant radiotherapy, was obtained from the Gene Expression Database, and differential expression analysis was performed to obtain differentially expressed genes. The LMRG were collected from the MSigDB database and intersected with differentially expressed genes to obtain differentially expressed LMRG. Candidate LMRG were identified based on three machine learning algorithms including least absolute shrinkage and selection operator (LASSO), support vector machine - recursive feature elimination (SVM-RFE), and random forest (RF). Functional enrichment analysis was performed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis to obtain potential function and involved pathways. The accuracy of the candidate LMRG in predicting the efficacy of neoadjuvant chemoradiotherapy for LARC was assessed using receiver operating characteristic (ROC) curve analysis.Results:A total of eight candidate LMRG ( ALOX5AP, FADS2, GALC, PLA2G12A, AGPAT1, AACS, DGKG, ACSBG2) were screened which were mainly involved in biological processes related to lipid metabolism and were involved in the regulation of several important lipid metabolism-related signaling pathways. In addition, these eight candidate LMRG possessed high area under the ROC curve (AUC) for predicting the efficacy of neoadjuvant chemoradiotherapy for LARC. Conclusion:The eight LMRG identified based on three machine learning algorithms had high accuracy in predicting the efficacy of neoadjuvant chemoradiotherapy for LARC, providing clues to identify molecular markers and potential therapeutic targets for preoperative neoadjuvant radiotherapy evaluation of LARC.

Lipid metabolomic changes in liver injury in BTBR ob/ob mice with type 2 diabetes mellitus / 安徽医科大学学报

Objective @#To investigate the changes of lipid biomarkers and lipid metabolic pathways related to liver injury in BTBR ob/ob mice with type 2 diabetes mellitus by biochemical and metabolomics methods．@*Methods @# 16 BTBR wild-type (WT) mice (WT group) and 14 BTBR ob/ob obese mice (ob / ob group) at 7 weeks of age were selected and fed in SPF environment until 20 weeks of age．Liver injury was compared between the two groups : The activities of mitochondrial respiratory enzyme complex in liver tissue were detected by high-resolution respirators，and the lipid metabolomic analysis of liver tissue samples in the two groups of mice was performed by ultra-perform- ance liquid chromatography-quadrupole time-of-flight mass spectrometry，mainly detecting endogenous metabolites. Principal component analysis (PCA) ，orthogonal partial least squares discriminant analysis ( OPLS-DA) and other models were used to screen potential biomarkers，and the metabolic pathway analysis of the identified metabolites was performed by MetaboAnalyst 5. 0 . @*Results @#Compared with the WT group，the ob / ob group had significantly increased body weight，fasting blood glucose ，serum levels of aspartate aminotransferase ( AST) ，alanine amin- otransferase (ALT) ，low-density lipoprotein (LDL-C) and cholesterol ( CHO) (P＜0. 01) ．Liver hematoxylin-eo- sin staining (HE) staining showed that the mice in ob / ob group had structural disorder of liver lobules，swelling of liver cells ，a large number of fat vacuoles in cells ，diffuse distribution and loose cytoplasm． Oil red O staining showed that there was a large amount of lipid deposition in the hepatocytes ofob/ob mice．The high resolution spi- rometer showed that the ob/ob mice had mitochondrial oxidative phosphorylation disorder and the activity of complex Ⅳ decreased．Lipid metabolomic analysis showed that the lipid metabolic profile of ob/ob mice changed，and the metabolic pathways involved mainly included glycerophospholipid metabolism，glycosylphosphatidylinositol ( GPI) anchor biosynthesis，triglyceride metabolism，linoleic acid metabolism，α-linolenic acid metabolism and arachidon- ic acid metabolism．@*Conclusion @#The liver injury of ob / ob group mice may be related to the disorder of lipid me- tabolism，in which the disorder of glycerophospholipid metabolism is the most critical metabolic pathway.

Recent advance in role of cerebral microvascular lesions in type 2 diabetes mellitus-associated cognitive impairment / 中华神经医学杂志

Cognitive impairment is a common clinical complication in type 2 diabetes (T2DM). T2DM-related cognitive impairment has complex and multifactorial pathogenesis. Cerebral microvascular dysfunction is an important pathological change in patients with T2DM and pre-T2DM, and it can induce blood-brain barrier injury and impaired blood perfusion regulation, with disturbed neurovascular coupling and cerebral autoregulation, leading cognitive impairment. This article reviews the epidemiology and pathophysiological mechanisms related to T2DM cerebral microvascular lesions and cognitive impairment, and how to monitor changes of cerebral microvascular structure and function so as to provide new approach for diagnosis and treatment of T2DM-related cognitive impairment.